6 citations · 10 across the 4 of their papers we have counts for
5 papers
AKCIT-FN at CheckThat! 2025: Switching Fine-Tuned SLMs and LLM Prompting for Multilingual Claim Normalization
Fabrycio Leite Nakano Almada, Kauan Divino Pouso Mariano, Maykon Adriell Dutra +4
Claim normalization, the transformation of informal social media posts into concise, self-contained statements, is a crucial step in automated fact-checking pipelines. This paper d…
Semi-automated Fact-checking in Portuguese: Corpora Enrichment using Retrieval with Claim extraction
Juliana Resplande Sant'anna Gomes, Arlindo Rodrigues Galvão Filho
The accelerated dissemination of disinformation often outpaces the capacity for manual fact-checking, highlighting the urgent need for Semi-Automated Fact-Checking (SAFC) systems.…
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches
Juliana Resplande Santanna Gomes, Eduardo Augusto Santos Garcia, Adalberto Ferreira Barbosa Junior +6
Aspect-based Sentiment Analysis (ABSA) is a task whose objective is to classify the individual sentiment polarity of all entities, called aspects, in a sentence. The task is compos…
DeepLearningBrasil@LT-EDI-2023: Exploring Deep Learning Techniques for Detecting Depression in Social Media Text
Eduardo Garcia, Juliana Gomes, Adalberto Barbosa Júnior +2
In this paper, we delineate the strategy employed by our team, DeepLearningBrasil, which secured us the first place in the shared task DepSign-LT-EDI@RANLP-2023, achieving a 47.0%…
Zero-shot hashtag segmentation for multilingual sentiment analysis
Ruan Chaves Rodrigues, Marcelo Akira Inuzuka, Juliana Resplande Sant'Anna Gomes +3
Hashtag segmentation, also known as hashtag decomposition, is a common step in preprocessing pipelines for social media datasets. It usually precedes tasks such as sentiment analys…